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Machine Learning Predicts Laboratory Earthquakes

Geophysical research letters, 2017-09, Vol.44 (18), p.9276-9282

2017

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Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

Nature communications, 2021-11, Vol.12 (1), p.6480-6480, Article 6480

2021

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Machine Learning Predicts Earthquakes in the Continuum Model of a Rate‐And‐State Fault With Frictional Heterogeneities

Geophysical research letters, 2024-05, Vol.51 (9), p.n/a

2024

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An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia

Nature communications, 2020-08, Vol.11 (1), p.4139-4139, Article 4139

2020

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Probing Slow Earthquakes With Deep Learning

Geophysical research letters, 2020-02, Vol.47 (4), p.e2019GL085870-n/a

2020

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Estimating Fault Friction From Seismic Signals in the Laboratory

Geophysical research letters, 2018-02, Vol.45 (3), p.1321-1329

2018

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Instantaneous tracking of earthquake growth with elastogravity signals

Nature (London), 2022-06, Vol.606 (7913), p.319

2022

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Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault

Geophysical research letters, 2019-07, Vol.46 (13), p.7395-7403

2019

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Laboratory earthquake forecasting: A machine learning competition

Proceedings of the National Academy of Sciences - PNAS, 2021-02, Vol.118 (5)

2021

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Mapping Glacier Basal Sliding Applying Machine Learning

Journal of geophysical research. Earth surface, 2023-11, Vol.128 (11), p.n/a

2023

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Phenotype and outcomes of very early onset and early onset inflammatory bowel diseases in a Montreal pediatric cohort

Frontiers in pediatrics, 2023-04, Vol.11, p.1157025-1157025

2023

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Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.2019

2024

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Nanocathodoluminescence Reveals Mitigation of the Stark Shift in InGaN Quantum Wells by Si Doping

Nano letters, 2015-11, Vol.15 (11), p.7639-7643

2015

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Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano

Geophysical research letters, 2020-02, Vol.47 (3), p.e2019GL085523-n/a

2020

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A multi-disciplinary view on earthquake science

Nature communications, 2022-12, Vol.13 (1), p.7331-7331, Article 7331

2022

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Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning

Scientific reports, 2016-04, Vol.6 (1), p.24862-24862, Article 24862

2016

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Tremor Waveform Extraction and Automatic Location With Neural Network Interpretation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-9

2022

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19 Characterization of Neurodevelopmental Comorbidities within a Paediatric Population with a First Epileptic Seizure

Paediatrics & child health, 2023-09, Vol.28 (Supplement_1), p.e9-e9

2023

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Automatized convergence of optoelectronic simulations using active machine learning

Applied physics letters, 2017-07, Vol.111 (4)

2017

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Distributed Database Kriging for Adaptive Sampling (D2KAS)

Computer physics communications, 2015-07, Vol.192 (C), p.138-147

2015

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Prevalence and Risk Factors for Symptoms of Methotrexate Intolerance in Pediatric Inflammatory Bowel Disease

Inflammatory bowel diseases, 2017-02, Vol.23 (2), p.298-303

2017

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Mapping Glacier Basal Sliding Applying Machine Learning

Journal of geophysical research. Earth surface, 2023, Vol.128

2023

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Spatial adaptive sampling in multiscale simulation

Computer physics communications, 2014-07, Vol.185 (7), p.1857-1864

2014

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Machine learning predicts earthquakes in the continuum model of a rate-and-state fault with frictional heterogeneities

2024

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Effects of Native Whey Protein and Carbohydrate Supplement on Physical Performance and Plasma Markers of Muscle Damage and Inflammation during a Simulated Rugby Sevens Tournament: A Double-Blind, Randomized, Placebo-Controlled, Crossover Study

Nutrients, 2022-11, Vol.14 (22), p.4780

2022

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Machine Learning Predicts Laboratory Earthquakes

Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

Machine Learning Predicts Earthquakes in the Continuum Model of a Rate‐And‐State Fault With Frictional Heterogeneities

An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia

Probing Slow Earthquakes With Deep Learning

Estimating Fault Friction From Seismic Signals in the Laboratory

Instantaneous tracking of earthquake growth with elastogravity signals

Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault

Laboratory earthquake forecasting: A machine learning competition

Mapping Glacier Basal Sliding Applying Machine Learning

Phenotype and outcomes of very early onset and early onset inflammatory bowel diseases in a Montreal pediatric cohort

Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning

Nanocathodoluminescence Reveals Mitigation of the Stark Shift in InGaN Quantum Wells by Si Doping

Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano

A multi-disciplinary view on earthquake science

Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning

Tremor Waveform Extraction and Automatic Location With Neural Network Interpretation

19 Characterization of Neurodevelopmental Comorbidities within a Paediatric Population with a First Epileptic Seizure

Automatized convergence of optoelectronic simulations using active machine learning

Distributed Database Kriging for Adaptive Sampling (D2KAS)

Prevalence and Risk Factors for Symptoms of Methotrexate Intolerance in Pediatric Inflammatory Bowel Disease

Mapping Glacier Basal Sliding Applying Machine Learning

Spatial adaptive sampling in multiscale simulation

Machine learning predicts earthquakes in the continuum model of a rate-and-state fault with frictional heterogeneities

Effects of Native Whey Protein and Carbohydrate Supplement on Physical Performance and Plasma Markers of Muscle Damage and Inflammation during a Simulated Rugby Sevens Tournament: A Double-Blind, Randomized, Placebo-Controlled, Crossover Study

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